PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (482 utterances, 1,150 words searched).

  1. dekita yo . %mov:"30203"_2273233_2277702 FAT · japanese_ishii/30203.cha, line 773 · Jun 3;02
  2. xxx dekita . %mov:"30203"_2367679_2373494 MAA · japanese_ishii/30203.cha, line 790 · Jun 3;02
  1. japanese_ishii/30203.cha, line 773 · Jun, 3;2.03
    MAAxxx mohitotsu xxx . %mov:"30203"_2262481_2272596
    FAThai . %mov:"30203"_2272596_2273233
    FAT*FAT: dekita yo . %mov:"30203"_2273233_2277702
    FATshitekita ka ? %mov:"30203"_2277702_2303291
    CHIun . %mov:"30203"_2303291_2303692
  2. japanese_ishii/30203.cha, line 790 · Jun, 3;2.03
    FATun . %mov:"30203"_2364481_2365253
    CHIkore na +... %mov:"30203"_2365253_2367679
    MAA*MAA: xxx dekita . %mov:"30203"_2367679_2373494
    CHIkore wa # kore wa torehen . %mov:"30203"_2373494_2378020
    FATdore ton [: toru] no ? %mov:"30203"_2378020_2382571

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii1.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30203.chaJun 3;2.031,150221.74

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. dekita2 · 100.0%